mirror of
https://github.com/introlab/rtabmap.git
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Refactored how features are stored in Signature (significative memory optimization, causing major refactoring in Memory, RegistrationVis, OdometryF2M) FLANN: optimized memory usage when Kp/IncrementalFlann is false Added memory usage functions Added statistics Loop/Visual_inliers_ratio/ and Memory/RAM_estimated/MB EpipolarGeometry: templated findPairs functions graph::filterLinks: added inverted option LocalBundleOnLoopClosure: Force to use only neighbor links MainWindow: fixed max depth filtering for map's features Rtabmap::getSignatureCopy() fixed links not returned Added UPlot::getAllCurveDataAsText() function. DbViewer: fixed features not rendered in right view when failing ro refine a constraint report: added --export and --export_prefix options (to export figures data)
1229 lines
40 KiB
C++
1229 lines
40 KiB
C++
/*
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Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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* Neither the name of the Universite de Sherbrooke nor the
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names of its contributors may be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <rtabmap/core/DBDriver.h>
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#include <rtabmap/core/Graph.h>
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#include <rtabmap/core/Optimizer.h>
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#include <rtabmap/utilite/UDirectory.h>
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#include <rtabmap/utilite/UFile.h>
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#include <rtabmap/utilite/UStl.h>
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#include <rtabmap/utilite/UMath.h>
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#include <rtabmap/utilite/ULogger.h>
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#include <stdio.h>
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#include <iostream>
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#include <fstream>
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#ifdef WITH_QT
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#include <rtabmap/utilite/UPlot.h>
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#include <QApplication>
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#include <QFile>
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#endif
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using namespace rtabmap;
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void showUsage()
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{
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printf("\nUsage:\n"
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"rtabmap-report [\"Statistic/Id\"] [options] path\n"
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#ifdef WITH_QT
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"[Not built with Qt, statistics cannot be plotted]\n"
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#endif
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" path Directory containing rtabmap databases or path of a database.\n"
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" Options:"
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" --latex Print table formatted in LaTeX with results.\n"
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" --kitti Compute error based on KITTI benchmark.\n"
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" --relative Compute relative motion error between poses.\n"
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" --loop Compute relative motion error of loop closures.\n"
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" --scale Find the best scale for the map against the ground truth\n"
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" and compute error based on the scaled path.\n"
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" --poses Export poses to [path]_poses.txt, ground truth to [path]_gt.txt\n"
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" and valid ground truth indices to [path]_indices.txt \n"
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" --stats Show available statistics \"Statistic/Id\" to plot or get localization statistics (if path is a file). \n"
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#ifdef WITH_QT
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" --invert When reading many databases, put all curves from a same \n"
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" database in same figure, instead of all same curves from \n"
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" different database in same figure. When reading a single \n"
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" database, the inverse will be done. \n"
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" --ids Use IDs for x axis instead of time in the figures. \n"
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" --start # Start from this node ID for the figures.\n"
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" --export Export figures' data to txt files.\n"
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" --export_prefix Prefix to filenames of exported figures' data (default is \"Stat\").\n"
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#endif
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" --report Export all evaluation statistics values in report.txt \n"
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" --loc # Show localization statistics for each \"Statistic/Id\" per\n"
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" session for 1=min,2=max,4=mean,8=stddev,16=total,32=nonnull%%\n"
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" --loc_delay # Delay to split sessions for localization statistics (default 60 seconds)\n"
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" (it is a mask, we can combine those numbers, e.g., 63 for all) \n"
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" --help Show usage\n\n");
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exit(1);
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}
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struct LocStats
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{
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static LocStats from(const std::vector<float> & array)
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{
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LocStats values;
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values.mean = uMean(array);
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values.stddev = std::sqrt(uVariance(array, values.mean));
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uMinMax(array, values.min, values.max);
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values.total = array.size();
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values.nonNull = 0.0f;
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if(!array.empty())
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{
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for(size_t j=0; j<array.size(); ++j)
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{
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if(array[j] != 0)
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{
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values.nonNull+=1.0f;
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}
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}
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values.nonNull = values.nonNull/float(array.size());
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}
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return values;
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}
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float mean;
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float stddev;
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float min;
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float max;
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int total;
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float nonNull;
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};
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int main(int argc, char * argv[])
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{
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if(argc < 2)
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{
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showUsage();
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}
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ULogger::setType(ULogger::kTypeConsole);
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ULogger::setLevel(ULogger::kWarning);
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#ifdef WITH_QT
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QApplication app(argc, argv);
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#endif
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bool outputLatex = false;
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bool outputScaled = false;
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bool outputPoses = false;
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bool outputKittiError = false;
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bool outputRelativeError = false;
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bool outputReport = false;
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bool outputLoopAccuracy = false;
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bool showAvailableStats = false;
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bool invertFigures = false;
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bool useIds = false;
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int startId = 0;
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bool exportFigures = false;
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std::string exportPrefix = "Stat";
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int showLoc = 0;
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float locDelay = 60;
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std::vector<std::string> statsToShow;
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#ifdef WITH_QT
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std::map<std::string, UPlot*> figures;
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#endif
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for(int i=1; i<argc-1; ++i)
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{
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if(strcmp(argv[i], "--help") == 0)
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{
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showUsage();
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}
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else if(strcmp(argv[i], "--latex") == 0)
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{
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outputLatex = true;
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}
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else if(strcmp(argv[i], "--kitti") == 0)
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{
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outputKittiError = true;
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}
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else if(strcmp(argv[i], "--relative") == 0)
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{
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outputRelativeError = true;
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}
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else if(strcmp(argv[i], "--scale") == 0)
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{
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outputScaled = true;
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}
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else if(strcmp(argv[i], "--poses") == 0)
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{
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outputPoses = true;
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}
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else if(strcmp(argv[i], "--loop") == 0)
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{
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outputLoopAccuracy = true;
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}
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else if(strcmp(argv[i],"--report") == 0)
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{
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outputReport = true;
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}
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else if(strcmp(argv[i],"--stats") == 0)
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{
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showAvailableStats = true;
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}
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else if(strcmp(argv[i],"--invert") == 0)
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{
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invertFigures = true;
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}
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else if(strcmp(argv[i],"--ids") == 0)
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{
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useIds = true;
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}
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else if(strcmp(argv[i],"--export") == 0)
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{
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exportFigures = true;
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}
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else if(strcmp(argv[i],"--export_prefix") == 0)
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{
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++i;
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if(i<argc-1)
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{
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exportPrefix = argv[i];
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printf("Export prefix=%s (--export_prefix)\n", exportPrefix.c_str());
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}
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else
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{
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printf("Missing value for \"--export_prefix\" option.\n");
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showUsage();
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}
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}
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else if(strcmp(argv[i],"--loc") == 0)
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{
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++i;
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if(i<argc-1)
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{
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showLoc = atoi(argv[i]);
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printf("Localization statistics=%d (--loc)\n", showLoc);
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}
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else
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{
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printf("Missing type for \"--loc\" option.\n");
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showUsage();
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}
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}
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else if(strcmp(argv[i],"--loc_delay") == 0)
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{
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++i;
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if(i<argc-1)
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{
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locDelay = atof(argv[i]);
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printf("Localization delay=%fs (--loc_delay)\n", locDelay);
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}
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else
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{
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printf("Missing value for \"--loc_delay\" option.\n");
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showUsage();
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}
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}
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else if(strcmp(argv[i],"--start") == 0)
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{
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++i;
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if(i<argc-1)
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{
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startId = atoi(argv[i]);
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printf("Figures will be plotted from id=%d (--start)\n", startId);
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}
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else
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{
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printf("Missing id for \"--start\" option.\n");
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showUsage();
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}
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}
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else
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{
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statsToShow.push_back(argv[i]);
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}
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}
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std::string path = argv[argc-1];
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path = uReplaceChar(path, '~', UDirectory::homeDir());
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if(!UDirectory::exists(path) && UFile::getExtension(path).compare("db") == 0)
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{
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invertFigures = !invertFigures;
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}
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std::map<std::string, std::vector<std::pair<std::string, std::vector<LocStats> > > > localizationMultiStats; //<statsName, <Database<Session>> >
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for(size_t i=0; i<statsToShow.size(); ++i)
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{
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std::string figureTitle = statsToShow[i];
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if(!invertFigures)
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{
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#ifdef WITH_QT
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printf("Plot %s\n", figureTitle.c_str());
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UPlot * fig = new UPlot();
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fig->resize(QSize(640,480));
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fig->setWindowTitle(figureTitle.c_str());
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if(useIds)
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{
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fig->setXLabel("Node ID");
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}
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else
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{
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fig->setXLabel("Time (s)");
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}
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figures.insert(std::make_pair(figureTitle, fig));
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#endif
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}
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if(showLoc & 0b111111)
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{
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localizationMultiStats.insert(std::make_pair(figureTitle, std::vector<std::pair<std::string, std::vector<LocStats> > >()));
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}
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}
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if(!invertFigures)
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{
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statsToShow.clear();
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}
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std::string fileName;
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std::list<std::string> paths;
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paths.push_back(path);
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std::vector<std::map<std::string, std::vector<float> > > outputLatexStatistics;
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std::map<std::string, std::vector<float> > outputLatexStatisticsMap;
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bool odomRAMSet = false;
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std::set<std::string> topDirs;
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while(paths.size())
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{
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std::string currentPath = paths.front();
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UDirectory currentDir(currentPath);
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paths.pop_front();
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bool currentPathIsDatabase = false;
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if(!currentDir.isValid())
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{
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if(UFile::getExtension(currentPath).compare("db") == 0)
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{
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currentPathIsDatabase=true;
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printf("Database: %s\n", currentPath.c_str());
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}
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else
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{
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continue;
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}
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}
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std::list<std::string> subDirs;
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if(!currentPathIsDatabase)
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{
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printf("Directory: %s\n", currentPath.c_str());
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std::list<std::string> fileNames = currentDir.getFileNames();
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if(topDirs.empty())
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{
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for(std::list<std::string>::iterator iter = fileNames.begin(); iter!=fileNames.end(); ++iter)
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{
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topDirs.insert(currentPath+"/"+*iter);
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}
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}
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else
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{
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if(topDirs.find(currentPath) != topDirs.end())
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{
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if(outputLatexStatisticsMap.size())
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{
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outputLatexStatistics.push_back(outputLatexStatisticsMap);
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outputLatexStatisticsMap.clear();
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}
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}
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}
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}
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// For all databases in currentDir
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while(currentPathIsDatabase || !(fileName = currentDir.getNextFileName()).empty())
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{
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int startIdPerDb = startId;
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if(currentPathIsDatabase || UFile::getExtension(fileName).compare("db") == 0)
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{
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std::string filePath;
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if(currentPathIsDatabase)
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{
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filePath = currentPath;
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fileName = UFile::getName(currentPath);
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}
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else
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{
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filePath = currentPath + UDirectory::separator() + fileName;
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}
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DBDriver * driver = DBDriver::create();
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ParametersMap params;
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if(driver->openConnection(filePath))
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{
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ULogger::setLevel(ULogger::kError); // to suppress parameter warnings
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params = driver->getLastParameters();
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ULogger::setLevel(ULogger::kWarning);
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std::set<int> ids;
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driver->getAllNodeIds(ids);
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std::map<int, std::pair<std::map<std::string, float>, double> > stats = driver->getAllStatistics();
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std::map<int, Transform> odomPoses, gtPoses;
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std::map<int, double> odomStamps;
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std::vector<float> cameraTime;
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cameraTime.reserve(ids.size());
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std::vector<float> odomTime;
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odomTime.reserve(ids.size());
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std::vector<float> slamTime;
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slamTime.reserve(ids.size());
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float rmse = -1;
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float maxRMSE = -1;
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float maxOdomRAM = -1;
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float maxMapRAM = -1;
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#ifdef WITH_QT
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if(currentPathIsDatabase && showAvailableStats)
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{
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std::map<std::string, int> availableStats;
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for(std::set<int>::iterator iter=ids.begin(); iter!=ids.end(); ++iter)
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{
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if(stats.find(*iter) != stats.end())
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{
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for(std::map<std::string, float>::iterator jter=stats.at(*iter).first.begin(); jter!=stats.at(*iter).first.end(); ++jter)
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{
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if(availableStats.find(jter->first) != availableStats.end())
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{
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++availableStats.at(jter->first);
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}
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else
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{
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availableStats.insert(std::make_pair(jter->first, 1));
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}
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}
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}
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}
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printf("Showing available statistics in \"%s\":\n", filePath.c_str());
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for(std::map<std::string, int>::iterator iter=availableStats.begin(); iter!=availableStats.end(); ++iter)
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{
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printf("%s (%d)\n", iter->first.c_str(), iter->second);
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}
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printf("\n");
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exit(1);
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}
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std::map<std::string, UPlotCurve*> curves;
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if(statsToShow.empty())
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{
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for(std::map<std::string, UPlot*>::iterator iter=figures.begin(); iter!=figures.end(); ++iter)
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{
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curves.insert(std::make_pair(iter->first, iter->second->addCurve(filePath.c_str())));
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if(!localizationMultiStats.empty())
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localizationMultiStats.at(iter->first).push_back(std::make_pair(fileName, std::vector<LocStats>()));
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}
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}
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else
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{
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UPlot * fig = new UPlot();
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fig->setWindowTitle(filePath.c_str());
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if(useIds)
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{
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fig->setXLabel("Node ID");
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}
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else
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{
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fig->setXLabel("Time (s)");
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}
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if(!figures.insert(std::make_pair(filePath.c_str(), fig)).second)
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{
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delete fig;
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printf("Figure %s already added!\n", filePath.c_str());
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}
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else
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{
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for(size_t i=0; i<statsToShow.size(); ++i)
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{
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curves.insert(std::make_pair(statsToShow[i], fig->addCurve(statsToShow[i].c_str())));
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if(!localizationMultiStats.empty())
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localizationMultiStats.at(statsToShow[i]).push_back(std::make_pair(fileName, std::vector<LocStats>()));
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}
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}
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}
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#else
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for(size_t i=0; i<statsToShow.size(); ++i)
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{
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if(!localizationMultiStats.empty())
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localizationMultiStats.at(statsToShow[i]).push_back(std::make_pair(fileName, std::vector<LocStats>()));
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}
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#endif
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// Find localization sessions and adjust startId
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std::set<int> mappingSessionIds;
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if(!localizationMultiStats.empty())
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{
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std::map<int, Transform> poses = driver->loadOptimizedPoses();
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if(!poses.empty())
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{
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for(std::map<int, Transform>::iterator iter=poses.begin(); iter!=poses.end(); ++iter)
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{
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Transform p, gt;
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GPS gps;
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int m=-1, w=-1;
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std::string l;
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double s;
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std::vector<float> v;
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EnvSensors sensors;
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if(driver->getNodeInfo(iter->first, p, m, w, l, s, gt, v, gps, sensors))
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{
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mappingSessionIds.insert(m);
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}
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}
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if(startIdPerDb ==0)
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{
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startIdPerDb = poses.rbegin()->first+1;
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}
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}
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}
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std::map<std::string, std::vector<float> > localizationSessionStats;
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double previousStamp = 0.0;
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for(std::set<int>::iterator iter=ids.begin(); iter!=ids.end(); ++iter)
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{
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Transform p, gt;
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GPS gps;
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int m=-1, w=-1;
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std::string l;
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double s;
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std::vector<float> v;
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EnvSensors sensors;
|
|
if(driver->getNodeInfo(*iter, p, m, w, l, s, gt, v, gps, sensors))
|
|
{
|
|
odomPoses.insert(std::make_pair(*iter, p));
|
|
odomStamps.insert(std::make_pair(*iter, s));
|
|
if(!gt.isNull())
|
|
{
|
|
gtPoses.insert(std::make_pair(*iter, gt));
|
|
}
|
|
|
|
if(!localizationMultiStats.empty() && mappingSessionIds.find(m) != mappingSessionIds.end())
|
|
{
|
|
continue;
|
|
}
|
|
|
|
if(*iter >= startIdPerDb && uContains(stats, *iter))
|
|
{
|
|
const std::map<std::string, float> & stat = stats.at(*iter).first;
|
|
if(uContains(stat, Statistics::kGtTranslational_rmse()))
|
|
{
|
|
rmse = stat.at(Statistics::kGtTranslational_rmse());
|
|
if(maxRMSE==-1 || maxRMSE < rmse)
|
|
{
|
|
maxRMSE = rmse;
|
|
}
|
|
}
|
|
if(uContains(stat, std::string("Camera/TotalTime/ms")))
|
|
{
|
|
cameraTime.push_back(stat.at(std::string("Camera/TotalTime/ms")));
|
|
}
|
|
if(uContains(stat, std::string("Odometry/TotalTime/ms")))
|
|
{
|
|
odomTime.push_back(stat.at(std::string("Odometry/TotalTime/ms")));
|
|
}
|
|
else if(uContains(stat, std::string("Odometry/TimeEstimation/ms")))
|
|
{
|
|
odomTime.push_back(stat.at(std::string("Odometry/TimeEstimation/ms")));
|
|
}
|
|
|
|
if(uContains(stat, std::string("RtabmapROS/TotalTime/ms")))
|
|
{
|
|
if(w!=-1)
|
|
{
|
|
slamTime.push_back(stat.at("RtabmapROS/TotalTime/ms"));
|
|
}
|
|
}
|
|
else if(uContains(stat, Statistics::kTimingTotal()))
|
|
{
|
|
if(w!=-1)
|
|
{
|
|
slamTime.push_back(stat.at(Statistics::kTimingTotal()));
|
|
}
|
|
}
|
|
|
|
if(uContains(stat, std::string(Statistics::kMemoryRAM_usage())))
|
|
{
|
|
float ram = stat.at(Statistics::kMemoryRAM_usage());
|
|
if(maxMapRAM==-1 || maxMapRAM < ram)
|
|
{
|
|
maxMapRAM = ram;
|
|
}
|
|
}
|
|
if(uContains(stat, std::string("Odometry/RAM_usage/MB")))
|
|
{
|
|
float ram = stat.at("Odometry/RAM_usage/MB");
|
|
if(maxOdomRAM==-1 || maxOdomRAM < ram)
|
|
{
|
|
maxOdomRAM = ram;
|
|
}
|
|
}
|
|
|
|
#ifdef WITH_QT
|
|
for(std::map<std::string, UPlotCurve*>::iterator jter=curves.begin(); jter!=curves.end(); ++jter)
|
|
{
|
|
#else
|
|
for(std::map<std::string, std::vector<std::pair<std::string, std::vector<LocStats> > > >::iterator jter=localizationMultiStats.begin();
|
|
jter!=localizationMultiStats.end();
|
|
++jter)
|
|
{
|
|
#endif
|
|
if(uContains(stat, jter->first))
|
|
{
|
|
double y = stat.at(jter->first);
|
|
#ifdef WITH_QT
|
|
double x = s;
|
|
if(useIds)
|
|
{
|
|
x = *iter;
|
|
}
|
|
jter->second->addValue(x,y);
|
|
#endif
|
|
|
|
if(!localizationMultiStats.empty())
|
|
{
|
|
if(previousStamp > 0 && fabs(s - previousStamp) > locDelay && uContains(localizationSessionStats, jter->first))
|
|
{
|
|
// changed session
|
|
for(std::map<std::string, std::vector<float> >::iterator kter=localizationSessionStats.begin(); kter!=localizationSessionStats.end(); ++kter)
|
|
{
|
|
LocStats values = LocStats::from(localizationSessionStats.at(kter->first));
|
|
localizationMultiStats.at(kter->first).rbegin()->second.push_back(values);
|
|
localizationSessionStats.at(kter->first).clear();
|
|
}
|
|
|
|
previousStamp = s;
|
|
}
|
|
|
|
if(!uContains(localizationSessionStats, jter->first))
|
|
{
|
|
localizationSessionStats.insert(std::make_pair(jter->first, std::vector<float>()));
|
|
}
|
|
localizationSessionStats.at(jter->first).push_back(y);
|
|
}
|
|
}
|
|
}
|
|
previousStamp = s;
|
|
}
|
|
}
|
|
}
|
|
|
|
for(std::map<std::string, std::vector<std::pair<std::string, std::vector<LocStats> > > >::iterator jter=localizationMultiStats.begin();
|
|
jter!=localizationMultiStats.end();
|
|
++jter)
|
|
{
|
|
if(uContains(localizationSessionStats, jter->first) &&
|
|
!localizationSessionStats.at(jter->first).empty())
|
|
{
|
|
// changed session
|
|
LocStats values = LocStats::from(localizationSessionStats.at(jter->first));
|
|
localizationMultiStats.at(jter->first).rbegin()->second.push_back(values);
|
|
}
|
|
}
|
|
|
|
std::multimap<int, Link> links;
|
|
std::multimap<int, Link> allLinks;
|
|
driver->getAllLinks(allLinks, true, true);
|
|
std::multimap<int, Link> loopClosureLinks;
|
|
for(std::multimap<int, Link>::iterator jter=allLinks.begin(); jter!=allLinks.end(); ++jter)
|
|
{
|
|
if(jter->second.from() == jter->second.to() || graph::findLink(links, jter->second.from(), jter->second.to(), true) == links.end())
|
|
{
|
|
links.insert(*jter);
|
|
}
|
|
if( jter->second.type() != Link::kNeighbor &&
|
|
jter->second.type() != Link::kNeighborMerged &&
|
|
graph::findLink(loopClosureLinks, jter->second.from(), jter->second.to()) == loopClosureLinks.end())
|
|
{
|
|
loopClosureLinks.insert(*jter);
|
|
}
|
|
}
|
|
|
|
float bestScale = 1.0f;
|
|
float bestRMSE = -1;
|
|
float bestRMSEAng = -1;
|
|
float bestVoRMSE = -1;
|
|
Transform bestGtToMap = Transform::getIdentity();
|
|
float kitti_t_err = 0.0f;
|
|
float kitti_r_err = 0.0f;
|
|
float relative_t_err = 0.0f;
|
|
float relative_r_err = 0.0f;
|
|
float loop_t_err = 0.0f;
|
|
float loop_r_err = 0.0f;
|
|
|
|
if(ids.size())
|
|
{
|
|
std::map<int, Transform> posesOut;
|
|
std::multimap<int, Link> linksOut;
|
|
int firstId = *ids.begin();
|
|
rtabmap::Optimizer * optimizer = rtabmap::Optimizer::create(params);
|
|
bool useOdomGravity = Parameters::defaultMemUseOdomGravity();
|
|
Parameters::parse(params, Parameters::kMemUseOdomGravity(), useOdomGravity);
|
|
if(useOdomGravity)
|
|
{
|
|
for(std::map<int, Transform>::iterator iter=odomPoses.begin(); iter!=odomPoses.end(); ++iter)
|
|
{
|
|
links.insert(std::make_pair(iter->first, Link(iter->first, iter->first, Link::kGravity, iter->second)));
|
|
}
|
|
}
|
|
optimizer->getConnectedGraph(firstId, odomPoses, links, posesOut, linksOut);
|
|
|
|
std::map<int, Transform> poses = optimizer->optimize(firstId, posesOut, linksOut);
|
|
if(poses.empty())
|
|
{
|
|
// try incremental optimization
|
|
UWARN("Optimization failed! Try incremental optimization...");
|
|
poses = optimizer->optimizeIncremental(firstId, posesOut, linksOut);
|
|
if(poses.empty())
|
|
{
|
|
UERROR("Incremental optimization also failed! Only original RMSE will be shown.");
|
|
bestRMSE = rmse;
|
|
}
|
|
else
|
|
{
|
|
UWARN("Incremental optimization succeeded!");
|
|
}
|
|
}
|
|
|
|
if(poses.size())
|
|
{
|
|
std::map<int, Transform> groundTruth;
|
|
for(std::map<int, Transform>::const_iterator iter=poses.begin(); iter!=poses.end(); ++iter)
|
|
{
|
|
if(gtPoses.find(iter->first) != gtPoses.end())
|
|
{
|
|
groundTruth.insert(*gtPoses.find(iter->first));
|
|
}
|
|
}
|
|
|
|
outputScaled = outputScaled && groundTruth.size();
|
|
for(float scale=outputScaled?0.900f:1.0f; scale<1.100f; scale+=0.001)
|
|
{
|
|
std::map<int, Transform> scaledPoses;
|
|
std::map<int, Transform> scaledOdomPoses;
|
|
|
|
for(std::map<int, Transform>::iterator iter=poses.begin(); iter!=poses.end(); ++iter)
|
|
{
|
|
Transform t = iter->second.clone();
|
|
t.x() *= scale;
|
|
t.y() *= scale;
|
|
t.z() *= scale;
|
|
scaledPoses.insert(std::make_pair(iter->first, t));
|
|
|
|
UASSERT(posesOut.find(iter->first)!=posesOut.end());
|
|
t = posesOut.at(iter->first).clone();
|
|
t.x() *= scale;
|
|
t.y() *= scale;
|
|
t.z() *= scale;
|
|
scaledOdomPoses.insert(std::make_pair(iter->first, t));
|
|
}
|
|
// compute RMSE statistics
|
|
float translational_rmse = 0.0f;
|
|
float translational_mean = 0.0f;
|
|
float translational_median = 0.0f;
|
|
float translational_std = 0.0f;
|
|
float translational_min = 0.0f;
|
|
float translational_max = 0.0f;
|
|
float rotational_rmse = 0.0f;
|
|
float rotational_mean = 0.0f;
|
|
float rotational_median = 0.0f;
|
|
float rotational_std = 0.0f;
|
|
float rotational_min = 0.0f;
|
|
float rotational_max = 0.0f;
|
|
|
|
graph::calcRMSE(
|
|
groundTruth,
|
|
scaledOdomPoses,
|
|
translational_rmse,
|
|
translational_mean,
|
|
translational_median,
|
|
translational_std,
|
|
translational_min,
|
|
translational_max,
|
|
rotational_rmse,
|
|
rotational_mean,
|
|
rotational_median,
|
|
rotational_std,
|
|
rotational_min,
|
|
rotational_max);
|
|
float translational_rmse_vo = translational_rmse;
|
|
|
|
Transform gtToMap = graph::calcRMSE(
|
|
groundTruth,
|
|
scaledPoses,
|
|
translational_rmse,
|
|
translational_mean,
|
|
translational_median,
|
|
translational_std,
|
|
translational_min,
|
|
translational_max,
|
|
rotational_rmse,
|
|
rotational_mean,
|
|
rotational_median,
|
|
rotational_std,
|
|
rotational_min,
|
|
rotational_max);
|
|
|
|
if(bestRMSE!=-1 && translational_rmse > bestRMSE)
|
|
{
|
|
break;
|
|
}
|
|
bestRMSE = translational_rmse;
|
|
bestVoRMSE = translational_rmse_vo;
|
|
bestRMSEAng = rotational_rmse;
|
|
bestScale = scale;
|
|
bestGtToMap = gtToMap;
|
|
if(!outputScaled)
|
|
{
|
|
// just did iteration without any scale, then exit
|
|
break;
|
|
}
|
|
}
|
|
|
|
for(std::map<int, Transform>::iterator iter=poses.begin(); iter!=poses.end(); ++iter)
|
|
{
|
|
iter->second.x()*=bestScale;
|
|
iter->second.y()*=bestScale;
|
|
iter->second.z()*=bestScale;
|
|
iter->second = bestGtToMap * iter->second;
|
|
}
|
|
|
|
if(outputRelativeError)
|
|
{
|
|
if(groundTruth.size() == poses.size())
|
|
{
|
|
// compute Motion statistics
|
|
graph::calcRelativeErrors(uValues(groundTruth), uValues(poses), relative_t_err, relative_r_err);
|
|
}
|
|
else
|
|
{
|
|
std::vector<Transform> gtPoses;
|
|
std::vector<Transform> rPoses;
|
|
for(std::map<int, Transform>::iterator iter=poses.begin(); iter!=poses.end(); ++iter)
|
|
{
|
|
if(groundTruth.find(iter->first) != groundTruth.end())
|
|
{
|
|
gtPoses.push_back(groundTruth.at(iter->first));
|
|
rPoses.push_back(poses.at(iter->first));
|
|
}
|
|
}
|
|
if(!gtPoses.empty())
|
|
{
|
|
graph::calcRelativeErrors(gtPoses, rPoses, relative_t_err, relative_r_err);
|
|
}
|
|
}
|
|
}
|
|
|
|
if(outputKittiError)
|
|
{
|
|
if(groundTruth.size() == poses.size())
|
|
{
|
|
// compute KITTI statistics
|
|
graph::calcKittiSequenceErrors(uValues(groundTruth), uValues(poses), kitti_t_err, kitti_r_err);
|
|
}
|
|
else
|
|
{
|
|
printf("Cannot compute KITTI statistics as optimized poses and ground truth don't have the same size (%d vs %d).\n",
|
|
(int)poses.size(), (int)groundTruth.size());
|
|
}
|
|
}
|
|
|
|
if(outputPoses)
|
|
{
|
|
std::string dir = UDirectory::getDir(filePath);
|
|
std::string dbName = UFile::getName(filePath);
|
|
dbName = dbName.substr(0, dbName.size()-3); // remove db
|
|
std::string path = dir+UDirectory::separator()+dbName+"_slam.txt";
|
|
std::multimap<int, Link> dummyLinks;
|
|
std::map<int, double> stamps;
|
|
if(!outputKittiError)
|
|
{
|
|
for(std::map<int, Transform>::iterator iter=poses.begin(); iter!=poses.end(); ++iter)
|
|
{
|
|
UASSERT(odomStamps.find(iter->first) != odomStamps.end());
|
|
stamps.insert(*odomStamps.find(iter->first));
|
|
}
|
|
}
|
|
if(!graph::exportPoses(path, outputKittiError?2:10, poses, dummyLinks, stamps))
|
|
{
|
|
printf("Could not export the poses to \"%s\"!?!\n", path.c_str());
|
|
}
|
|
|
|
//export odom
|
|
path = dir+UDirectory::separator()+dbName+"_odom.txt";
|
|
stamps.clear();
|
|
if(!outputKittiError)
|
|
{
|
|
for(std::map<int, Transform>::iterator iter=odomPoses.begin(); iter!=odomPoses.end(); ++iter)
|
|
{
|
|
UASSERT(odomStamps.find(iter->first) != odomStamps.end());
|
|
stamps.insert(*odomStamps.find(iter->first));
|
|
}
|
|
}
|
|
if(!graph::exportPoses(path, outputKittiError?2:10, odomPoses, dummyLinks, stamps))
|
|
{
|
|
printf("Could not export the ground truth to \"%s\"!?!\n", path.c_str());
|
|
}
|
|
|
|
//export ground truth
|
|
if(groundTruth.size())
|
|
{
|
|
path = dir+UDirectory::separator()+dbName+"_gt.txt";
|
|
stamps.clear();
|
|
if(!outputKittiError)
|
|
{
|
|
for(std::map<int, Transform>::iterator iter=groundTruth.begin(); iter!=groundTruth.end(); ++iter)
|
|
{
|
|
UASSERT(odomStamps.find(iter->first) != odomStamps.end());
|
|
stamps.insert(*odomStamps.find(iter->first));
|
|
}
|
|
}
|
|
if(!graph::exportPoses(path, outputKittiError?2:10, groundTruth, dummyLinks, stamps))
|
|
{
|
|
printf("Could not export the ground truth to \"%s\"!?!\n", path.c_str());
|
|
}
|
|
}
|
|
}
|
|
|
|
if (outputReport)
|
|
{
|
|
bool fillHeader = false;
|
|
std::ifstream f("report.csv");
|
|
if(!f.good())
|
|
{
|
|
fillHeader = true;
|
|
}
|
|
|
|
std::ofstream myfile;
|
|
myfile.open("report.csv", std::fstream::in | std::fstream::out | std::fstream::app);
|
|
if(fillHeader)
|
|
{
|
|
myfile << "Rosbag name"<<";"<<"error linear (m)"<<";"<<"error linear max (m)"<<";"<<"error linear odom (m)"<<";"
|
|
<<"error angular"<<";"
|
|
<<"Slam avg (hz)"<<";"<<"Slam max (hz)"<<";"
|
|
<<"Odom avg (hz)"<<";"<<"Odom max (hz)"<<std::endl;
|
|
}
|
|
|
|
myfile <<fileName.c_str()<<";"
|
|
<<bestRMSE<< ";"
|
|
<<maxRMSE<<";"
|
|
<<bestVoRMSE<<";"
|
|
<<bestRMSEAng<<";"
|
|
<<(1/(uMean(slamTime)/1000.0))<<";"
|
|
<<(1/(uMax(slamTime)/1000.0))<<";"
|
|
<<(1/(uMean(odomTime)/1000.0))<<";"
|
|
<<(1/(uMax(odomTime)/1000.0))<<";"<<std::endl;
|
|
myfile.close();
|
|
}
|
|
|
|
if(outputLoopAccuracy && !groundTruth.empty() && !linksOut.empty())
|
|
{
|
|
float sumDist = 0.0f;
|
|
float sumAngle = 0.0f;
|
|
int count = 0;
|
|
for(std::multimap<int, Link>::iterator iter=loopClosureLinks.begin(); iter!=loopClosureLinks.end(); ++iter)
|
|
{
|
|
if( groundTruth.find(iter->second.from())!=groundTruth.end() &&
|
|
groundTruth.find(iter->second.to())!=groundTruth.end())
|
|
{
|
|
Transform gtLink = groundTruth.at(iter->second.from()).inverse()*groundTruth.at(iter->second.to());
|
|
const Transform & t = iter->second.transform();
|
|
Transform scaledLink(
|
|
t.r11(), t.r12(), t.r13(), t.x()*bestScale,
|
|
t.r21(), t.r22(), t.r23(), t.y()*bestScale,
|
|
t.r31(), t.r32(), t.r33(), t.z()*bestScale);
|
|
Transform diff = gtLink.inverse()*scaledLink;
|
|
sumDist += diff.getNorm();
|
|
sumAngle += diff.getAngle();
|
|
++count;
|
|
}
|
|
}
|
|
if(count>0)
|
|
{
|
|
loop_t_err = sumDist/float(count);
|
|
loop_r_err = sumAngle/float(count);
|
|
loop_r_err *= 180/CV_PI; // Rotation error (deg)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
printf(" %s (%d, s=%.3f):\terror lin=%.3fm (max=%.3fm, odom=%.3fm) ang=%.1fdeg%s%s, %s: avg=%dms (max=%dms) loops=%d%s, odom: avg=%dms (max=%dms), camera: avg=%dms, %smap=%dMB\n",
|
|
fileName.c_str(),
|
|
(int)ids.size(),
|
|
bestScale,
|
|
bestRMSE,
|
|
maxRMSE,
|
|
bestVoRMSE,
|
|
bestRMSEAng,
|
|
!outputKittiError?"":uFormat(", KITTI: t_err=%.2f%% r_err=%.2f deg/100m", kitti_t_err, kitti_r_err*100).c_str(),
|
|
!outputRelativeError?"":uFormat(", Relative: t_err=%.3fm r_err=%.2f deg", relative_t_err, relative_r_err).c_str(),
|
|
!localizationMultiStats.empty()?"loc":"slam",
|
|
(int)uMean(slamTime), (int)uMax(slamTime),
|
|
(int)loopClosureLinks.size(),
|
|
!outputLoopAccuracy?"":uFormat(" (t_err=%.3fm r_err=%.2f deg)", loop_t_err, loop_r_err).c_str(),
|
|
(int)uMean(odomTime), (int)uMax(odomTime),
|
|
(int)uMean(cameraTime),
|
|
maxOdomRAM!=-1.0f?uFormat("RAM odom=%dMB ", (int)maxOdomRAM).c_str():"",
|
|
(int)maxMapRAM);
|
|
|
|
if(outputLatex)
|
|
{
|
|
std::vector<float> stats;
|
|
stats.push_back(ids.size());
|
|
stats.push_back(bestRMSE);
|
|
stats.push_back(maxRMSE);
|
|
stats.push_back(bestRMSEAng);
|
|
stats.push_back(uMean(odomTime));
|
|
stats.push_back(uMean(slamTime));
|
|
stats.push_back(uMax(slamTime));
|
|
stats.push_back(maxOdomRAM);
|
|
stats.push_back(maxMapRAM);
|
|
outputLatexStatisticsMap.insert(std::make_pair(filePath, stats));
|
|
|
|
if(maxOdomRAM != -1.0f)
|
|
{
|
|
odomRAMSet = true;
|
|
}
|
|
}
|
|
}
|
|
driver->closeConnection();
|
|
delete driver;
|
|
}
|
|
else if(uSplit(fileName, '.').size() == 1)
|
|
{
|
|
//sub directory
|
|
subDirs.push_front(currentPath + UDirectory::separator() + fileName);
|
|
}
|
|
currentPathIsDatabase = false;
|
|
}
|
|
|
|
if(!localizationMultiStats.empty())
|
|
{
|
|
printf("---Localization results---\n");
|
|
std::string prefix = "header={";
|
|
printf("%s", prefix.c_str());
|
|
for(std::vector<std::pair<std::string, std::vector<LocStats> > >::iterator iter=localizationMultiStats.begin()->second.begin();
|
|
iter!=localizationMultiStats.begin()->second.end();)
|
|
{
|
|
if(iter!=localizationMultiStats.begin()->second.begin())
|
|
{
|
|
printf("%s", std::string(prefix.size(), ' ').c_str());
|
|
}
|
|
printf("%s", iter->first.c_str());
|
|
++iter;
|
|
if(iter!=localizationMultiStats.begin()->second.end())
|
|
{
|
|
printf(";\n");
|
|
}
|
|
}
|
|
printf("}\n");
|
|
}
|
|
|
|
for(std::map<std::string, std::vector<std::pair<std::string, std::vector<LocStats> > > >::iterator iter=localizationMultiStats.begin();
|
|
iter!=localizationMultiStats.end();
|
|
++iter)
|
|
{
|
|
printf("%s\n", iter->first.c_str());
|
|
for(int k=0; k<6; ++k)
|
|
{
|
|
if(showLoc & (0x1 << k))
|
|
{
|
|
std::string prefix = uFormat(" %s=[",
|
|
k==0?"min":
|
|
k==1?"max":
|
|
k==2?"mean":
|
|
k==3?"stddev":
|
|
k==4?"total":
|
|
"nonnull%");
|
|
printf("%s", prefix.c_str());
|
|
for(std::vector<std::pair<std::string, std::vector<LocStats> > >::iterator jter=iter->second.begin(); jter!=iter->second.end();)
|
|
{
|
|
if(jter!=iter->second.begin())
|
|
{
|
|
printf("%s", std::string(prefix.size(), ' ').c_str());
|
|
}
|
|
for(size_t j=0; j<jter->second.size(); ++j)
|
|
{
|
|
if(k<4)
|
|
{
|
|
printf("%f",
|
|
k==0?jter->second[j].min:
|
|
k==1?jter->second[j].max:
|
|
k==2?jter->second[j].mean:
|
|
jter->second[j].stddev);
|
|
}
|
|
else if(k==4)
|
|
{
|
|
printf("%d",jter->second[j].total);
|
|
}
|
|
else if(k==5)
|
|
{
|
|
printf("%.2f", (jter->second[j].nonNull*100));
|
|
}
|
|
if(j+1 < jter->second.size())
|
|
{
|
|
printf(" ");
|
|
}
|
|
}
|
|
++jter;
|
|
if(jter!=iter->second.end())
|
|
{
|
|
printf(";\n");
|
|
}
|
|
}
|
|
printf("]\n");
|
|
}
|
|
}
|
|
iter->second.clear();
|
|
}
|
|
|
|
for(std::list<std::string>::iterator iter=subDirs.begin(); iter!=subDirs.end(); ++iter)
|
|
{
|
|
paths.push_front(*iter);
|
|
}
|
|
|
|
if(outputLatexStatisticsMap.size() && paths.empty())
|
|
{
|
|
outputLatexStatistics.push_back(outputLatexStatisticsMap);
|
|
outputLatexStatisticsMap.clear();
|
|
}
|
|
}
|
|
|
|
if(outputLatex && outputLatexStatistics.size())
|
|
{
|
|
printf("\nLaTeX output:\n----------------\n");
|
|
printf("\\begin{table*}[!t]\n");
|
|
printf("\\caption{$t_{end}$ is the absolute translational RMSE value at the end "
|
|
"of the experiment as $ATE_{max}$ is the maximum during the experiment. "
|
|
"$r_{end}$ is rotational RMSE value at the end of the experiment. "
|
|
"$o_{avg}$ and $m_{avg}$ are the average computational time "
|
|
"for odometry (front-end) and map update (back-end). "
|
|
"$m_{avg}$ is the maximum computational time for map update. "
|
|
"$O_{end}$ and $M_{end}$ are the RAM usage at the end of the experiment "
|
|
"for odometry and map management respectively.}\n");
|
|
printf("\\label{}\n");
|
|
printf("\\centering\n");
|
|
if(odomRAMSet)
|
|
{
|
|
printf("\\begin{tabular}{l|c|c|c|c|c|c|c|c|c}\n");
|
|
printf("\\cline{2-10}\n");
|
|
printf(" & Size & $t_{end}$ & $t_{max}$ & $r_{end}$ & $o_{avg}$ & $m_{avg}$ & $m_{max}$ & $O_{end}$ & $M_{end}$ \\\\\n");
|
|
printf(" & (nodes) & (m) & (m) & (deg) & (ms) & (ms) & (ms) & (MB) & (MB) \\\\\n");
|
|
}
|
|
else
|
|
{
|
|
printf("\\begin{tabular}{l|c|c|c|c|c|c|c|c}\n");
|
|
printf("\\cline{2-9}\n");
|
|
printf(" & Size & $t_{end}$ & $t_{max}$ & $r_{end}$ & $o_{avg}$ & $m_{avg}$ & $m_{max}$ & $M_{end}$ \\\\\n");
|
|
printf(" & (nodes) & (m) & (m) & (deg) & (ms) & (ms) & (ms) & (MB) \\\\\n");
|
|
}
|
|
|
|
printf("\\hline\n");
|
|
|
|
for(unsigned int j=0; j<outputLatexStatistics.size(); ++j)
|
|
{
|
|
if(outputLatexStatistics[j].size())
|
|
{
|
|
std::vector<int> lowestIndex;
|
|
if(outputLatexStatistics[j].size() > 1)
|
|
{
|
|
std::vector<float> lowestValue(outputLatexStatistics[j].begin()->second.size(),-1);
|
|
lowestIndex = std::vector<int>(lowestValue.size(),0);
|
|
int index = 0;
|
|
for(std::map<std::string, std::vector<float> >::iterator iter=outputLatexStatistics[j].begin(); iter!=outputLatexStatistics[j].end(); ++iter)
|
|
{
|
|
UASSERT(lowestValue.size() == iter->second.size());
|
|
for(unsigned int i=0; i<iter->second.size(); ++i)
|
|
{
|
|
if(lowestValue[i] == -1 || (iter->second[i]>0.0f && lowestValue[i]>iter->second[i]))
|
|
{
|
|
lowestValue[i] = iter->second[i];
|
|
lowestIndex[i] = index;
|
|
}
|
|
}
|
|
++index;
|
|
}
|
|
}
|
|
|
|
int index = 0;
|
|
for(std::map<std::string, std::vector<float> >::iterator iter=outputLatexStatistics[j].begin(); iter!=outputLatexStatistics[j].end(); ++iter)
|
|
{
|
|
UASSERT(iter->second.size() == 9);
|
|
printf("%s & ", uReplaceChar(iter->first.c_str(), '_', '-').c_str());
|
|
printf("%d & ", (int)iter->second[0]);
|
|
printf("%s%.3f%s & ", lowestIndex.size()&&lowestIndex[1]==index?"\\textbf{":"", iter->second[1], lowestIndex.size()&&lowestIndex[1]==index?"}":"");
|
|
printf("%s%.3f%s & ", lowestIndex.size()&&lowestIndex[2]==index?"\\textbf{":"", iter->second[2], lowestIndex.size()&&lowestIndex[2]==index?"}":"");
|
|
printf("%s%.2f%s & ", lowestIndex.size()&&lowestIndex[3]==index?"\\textbf{":"", iter->second[3], lowestIndex.size()&&lowestIndex[3]==index?"}":"");
|
|
printf("%s%d%s & ", lowestIndex.size()&&lowestIndex[4]==index?"\\textbf{":"", (int)iter->second[4], lowestIndex.size()&&lowestIndex[4]==index?"}":"");
|
|
printf("%s%d%s & ", lowestIndex.size()&&lowestIndex[5]==index?"\\textbf{":"", (int)iter->second[5], lowestIndex.size()&&lowestIndex[5]==index?"}":"");
|
|
printf("%s%d%s & ", lowestIndex.size()&&lowestIndex[6]==index?"\\textbf{":"", (int)iter->second[6], lowestIndex.size()&&lowestIndex[6]==index?"}":"");
|
|
if(odomRAMSet)
|
|
{
|
|
printf("%s%d%s & ", lowestIndex.size()&&lowestIndex[7]==index?"\\textbf{":"", (int)iter->second[7], lowestIndex.size()&&lowestIndex[7]==index?"}":"");
|
|
}
|
|
printf("%s%d%s ", lowestIndex.size()&&lowestIndex[8]==index?"\\textbf{":"", (int)iter->second[8], lowestIndex.size()&&lowestIndex[8]==index?"}":"");
|
|
printf("\\\\\n");
|
|
++index;
|
|
}
|
|
printf("\\hline\n");
|
|
}
|
|
}
|
|
|
|
|
|
printf("\\end{tabular}\n");
|
|
printf("\\end{table*}\n----------------\n");
|
|
}
|
|
#ifdef WITH_QT
|
|
if(figures.size())
|
|
{
|
|
for(std::map<std::string, UPlot*>::iterator iter=figures.begin(); iter!=figures.end(); ++iter)
|
|
{
|
|
if(!useIds)
|
|
{
|
|
iter->second->frameData();
|
|
}
|
|
if(exportFigures)
|
|
{
|
|
QString data = iter->second->getAllCurveDataAsText();
|
|
if(!data.isEmpty())
|
|
{
|
|
QString filePath = QString(exportPrefix.c_str()) + (exportPrefix.empty()?"":"-") + iter->second->windowTitle().replace('/', "-") + ".txt";
|
|
QFile file(filePath);
|
|
if(file.open(QIODevice::Text | QIODevice::WriteOnly))
|
|
{
|
|
file.write(data.toUtf8());
|
|
file.close();
|
|
printf("Exported \"%s\".\n", filePath.toStdString().c_str());
|
|
}
|
|
else
|
|
{
|
|
printf("ERROR: could not open file \"%s\" for writing!\n", filePath.toStdString().c_str());
|
|
}
|
|
}
|
|
}
|
|
else
|
|
{
|
|
iter->second->show();
|
|
}
|
|
}
|
|
if(!exportFigures)
|
|
{
|
|
return app.exec();
|
|
}
|
|
}
|
|
#endif
|
|
return 0;
|
|
}
|